clementbowe14 / clementbowe14/JobAppsAgentified
EXT-07: LinkedIn & Indeed Site Scrapers (Content Scripts)
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- Dominant language
- JavaScript
- Stars
- 0
- Forks
- 0
- PR merge metrics
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Description
Objective
Create content scripts to target, extract, and transmit job details (title, company, description, requirements) from active pages on LinkedIn and Indeed.
Description
Write content scripts that run on LinkedIn and Indeed job detail pages. Implement robust selectors to read active DOM components (job description texts, company headers). Send this data back to the Side Panel/Service worker via extension message passing.
Acceptance Criteria (Subtasks)
- Content script detects when a user is on a LinkedIn job details page or Indeed view-job page
- Scrapes:
jobTitle,companyName,jobDescriptionText, andlocation - Extracted data is sent to the extension using
chrome.runtime.sendMessage - Side panel displays a blinking active icon "Job Detected: [Job Title] at [Company]" with a button to "Analyze Match" directly
- CSS injects a subtle floating feedback badge on the page indicating active scraping status or match ready status
Files to Create
src/content/linkedin-scraper.jssrc/content/indeed-scraper.jssrc/content/toast.js
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the extension's existing content-script and Side Panel/Service worker message flow, then review the requested files: src/content/linkedin-scraper.js, src/content/indeed-scraper.js, and src/content/toast.js. Verify behavior on LinkedIn and Indeed job pages by checking that the four job fields are extracted, sent with chrome.runtime.sendMessage, displayed in the Side Panel, and reflected by the floating feedback badge.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- frontend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100